TGS and Oseberg’s combined offering helps E&P companies reduce operational risks

Energy data and intelligence provider TGS has partnered with next-generation data company Oseberg on a new offering for exploration and production (E&P) companies.
Oseberg provides lease and regulatory data for the energy sector, transforming unusable oil and gas public filings into actionable intelligence.
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This collaboration aims to enhance the capabilities of TGS’ Well Data Analytics (WDA) platform by incorporating Oseberg’s comprehensive lease data attributes, offering users a more robust analytical tool.
The integration’s first phase allows WDA users to access lease ownership information for Texas, New Mexico and Oklahoma in the US, alongside other critical subsurface well data.
By combining these datasets, E&P companies can streamline well planning, decrease legal and operational risks, and refine development strategies.
The partnership is expected to provide merger and acquisition analysis, project site planning, investment evaluation and resource inventory management.

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By GlobalDataTGS’ WDA tool combines high-quality well data with adaptable search workflows, map-based visualisations, advanced plotting and customisable dashboards within a cloud-based application.
TGS Well Data Products vice-president Carl Neuhaus said: “Our partnership with Oseberg creates a full-service subsurface data offering combining the highest quality lease data with the most comprehensive geological and well database.
“Integrating Oseberg lease ownership data empowers our users to verify land ownership in minutes and use TGS data to quantify resource deliverability, improve development planning accuracy and quickly identify the most valuable opportunities. As always, these workflows are developed with customers to ensure seamless integration and hassle-free displacement of existing solutions.”
TGS recently initiated a 3D seismic reprocessing project in the Krishna-Godavari Basin in India. The project aims to upgrade the value of existing seismic data through advanced processing techniques.
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